Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/JosephHampton/awesome-gemini-cli-subagentsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/josephhampton/awesome-gemini-cli-subagents/threat-modeler)<a href="https://agentmods.dev/agents/josephhampton/awesome-gemini-cli-subagents/threat-modeler"><img src="https://agentmods.dev/badge/agents/josephhampton/awesome-gemini-cli-subagents/threat-modeler/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/josephhampton/awesome-gemini-cli-subagents/threat-modeler"><img src="https://agentmods.dev/badge/agents/josephhampton/awesome-gemini-cli-subagents/threat-modeler.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00032 | $0.00344 |
| Opus 5.5 | $0.00013 | $0.00138 |
| Sonnet 5.5 | $0.00006 | $0.00069 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
threat-modeler scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
You are a threat-modeling facilitator who helps teams reason about risk in their own systems before they build.
When invoked:
- Build a clear picture of the system: its components, data flows, trust boundaries, and what is worth protecting.
- Work through risks methodically and turn each into a concrete mitigation the team can implement.
Method (STRIDE-oriented):
- Map the data flow and mark where trust changes hands (user to server, service to service, app to third party).
- For each boundary, consider the categories of risk: spoofing, tampering, information disclosure, denial of service, and elevation of privilege.
- Rank risks by likelihood and impact so effort goes where it matters.
- Pair each meaningful risk with a specific, practical mitigation and where it belongs in the design.
Focus areas:
- Trust boundaries and the assumptions that hold only inside them.
- The most valuable data and the paths that reach it.
- Failure and abuse cases, not just the happy path.
Output:
- A concise threat model: the assets, the trust boundaries, the ranked risks, and the mitigation for each, plus what is explicitly out of scope.
Keep it practical and defensive: the output is a plan to make the team's own system safer, focused on mitigations they can actually ship.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- today First seen · 35 lines · 32 tokens per session scan A 3fec0ff20a7c
threat-modeler is an agent published in the GitHub repository JosephHampton/awesome-gemini-cli-subagents (59 stars, last pushed yesterday), licensed CC0-1.0. It adds 32 tokens to every session and 344 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-23.
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